Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%)

Join us in shaping how a global Life & Health reinsurance leader bring AI to life at scale. You’ll help turn strategy into real business results by driving the end-to-end delivery of practical solutions that improve performance, support innovation, and make a meaningful difference across the business.

About the Role

As our Delivery Lead, Business Enablement, you will sit at the intersection of business transformation, delivery execution, and technology enablement to bring AI use cases from idea to scaled operational adoption.  You will partner with business leaders, product owners, and operational teams to develop delivery plans, drive execution, and embed solutions effectively into core business processes.

This role offers a unique opportunity to turn L&H Re's AI ambition into measurable value, through disciplined delivery, strong stakeholder alignment, and practical adoption across global markets.

Key Responsibilities

• Lead end-to-end AI delivery across a portfolio of use cases, taking initiatives from prioritisation and discovery through MVP, production rollout, and value realisation while ensuring alignment to business objectives, timelines, and quality expectations
• Translate business needs into executable delivery plans by shaping scope, defining user stories and acceptance criteria, sequencing work into deliverable increments, and maintaining a clear backlog that balances value, feasibility, and risk
• Coordinate cross-functional delivery teams across business, data, engineering, architecture, security, risk, and operations to ensure AI solutions are integrated effectively into target processes and are ready for scaled adoption
• Ensure production readiness and responsible delivery by partnering with technical teams to address testing, controls, model lifecycle considerations, data quality, security, supportability, and regulatory expectations relevant to AI-enabled solutions
• Drive business adoption and measurable outcomes by supporting user testing, rollout planning, training, feedback loops, and post-launch optimisation, with a strong focus on realised benefits, operational improvement, and sustainable ways of working
• Build delivery capability and delivery standards by embedding reusable playbooks, agile delivery disciplines, documentation standards, and lessons learned that improve execution quality across future AI initiatives

About the Team

The Operating Model Transformation team drives the redesign of how L&H Re operates in an AI-enabled future. We bring together business change, process redesign, data and technology, and change delivery to turn strategy into practical, scalable ways of working.

The team works across functions and markets to accelerate adoption of AI-powered capabilities and establish new ways of working that improve client outcomes, operational efficiency, and decision quality.

About You

You are a pragmatic transformation professional who excels at translating multifaceted business needs into actionable delivery plans for AI-powered solutions. You thrive in cross-functional environments, seamlessly coordinating between business stakeholders, technical teams, and operational experts to ensure effective integration and scalable adoption of AI initiatives. You enjoy tackling complex delivery challenges and take pride in shaping solutions that deliver measurable business value and enable operational improvement.

We are looking for candidates who meet these requirements:

• 5+ years of experience in delivery leadership, product delivery, programme management, business analysis, or a similar role, ideally gained in insurance, reinsurance, financial services, consulting, or another regulated environment
• Strong understanding of AI and digital delivery lifecycles, including how to take use cases from discovery and MVP through implementation, rollout, adoption, and ongoing optimisation in an enterprise setting
• Proven ability to turn ambiguous business problems into structured delivery plans, clear requirements, prioritised backlogs, realistic milestones, and measurable success criteria
• Strong stakeholder management, communication, and facilitation skills, with the ability to work credibly across senior business leaders, product owners, architects, engineers, and operational teams
• Proven track record of managing risks, dependencies, and delivery trade-offs in complex cross-functional programmes, while maintaining momentum, transparency, and high-quality execution

Additional desirable qualifications: 

• Experience in Life & Health insurance or reinsurance, with a practical understanding of core value chain activities and how AI-enabled solutions can improve workflow efficiency, decision quality, and client outcomes
• Experience delivering AI, analytics, automation, or digital transformation initiatives, including coordination of pilots, MVPs, and scaled rollout in partnership with technical and business teams
• Familiarity with agile delivery methods, product ownership practices, and delivery tooling such as Jira, Azure DevOps, or equivalent platforms used to manage backlog, progress, and dependencies
• Familiarity with data governance, model risk, privacy, security, and regulatory considerations relevant to AI delivery in financial services, and the ability to reflect these in delivery planning and execution
• Professional certification or training in agile delivery, project or product management, change management, or related disciplines such as Scrum, SAFe, PMP, PRINCE2, or equivalent
• Comfort working in fast-evolving environments where AI capabilities, business priorities, and governance expectations are developing rapidly, with the adaptability to refine plans and delivery approaches as needed

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

For Switzerland, the base salary range for this position is between (126'000 CHF) and (188'00, CHF) for a full-time role.

The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role
• the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience

In the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range. In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based annual bonus.